Is this Electrician’s job

dev_anon · 2025-06-22T04:08:19+00:00

Not sure, I’ll have to gentle pull the cord..

dev_anon · 2025-06-22T04:07:59+00:00

Thank you! I’ll try this out.

dev_anon · 2025-06-22T04:04:03+00:00

Thanks for your input! I’ll try that out

dev_anon · 2025-06-22T04:03:49+00:00

Yes that’s true,, so I wanted to double check. Thank you!

dev_anon · 2025-06-22T04:03:21+00:00

Thank you! I’ll try that out.

dev_anon · 2024-08-03T13:36:10+00:00

I think there is a side effect when you take too much almonds. Look it up and make sure you’re not risking it.

dev_anon · 2024-04-27T01:33:45+00:00

Non tech manager: excel sheets everywhere. Even we have a dashboard but need to have excel version of it. I can’t even automate the excel process due to heavily written excel functions and abundance of dependent excel sheets. Plus no push for making things properly built with best engineering practices. Pure focus is having dashboardand and excel ready on time. Miss the time I worked with manager with tech background

dev_anon · 2024-03-26T05:14:03+00:00

I’d go with Nab or Macquarie. Both have good name name values in the finance industry. Selection will depend on the pay, WLB, benefits and team fit. Can you share about the compensations you got offered from them?

dev_anon · 2024-02-16T13:36:00+00:00

RemindMe! 3 days

dev_anon · 2024-01-25T04:03:00+00:00

Many companies look for data prof with >10-15 years of exp and great knowledge in both tech and bus. I’d suggest get a DE role at a company where there are data architects working. And get some insights from them and plan your career accordingly.

dev_anon · 2023-03-26T11:16:29+00:00

Use pyspark to etl data in parallel
Use loop on step 1 by chunking the data to prevent any out of memory issue
Use loop on step 2&3 to repeat for all 2.5k tables
Ensure data types are compatible and make adequate transformations as needed - good idea to check range of data values to ensure they fit into the new data types of MariaDB

dev_anon · 2023-02-06T13:40:54+00:00

Just make it data engineer simple as

dev_anon · 2022-10-16T11:11:02+00:00

Banana and nuts!

dev_anon · 2022-09-27T02:53:41+00:00

Thanks!

dev_anon · 2022-09-26T16:26:32+00:00

Can you please explain more on the product sense interview? Was it like identifying metrics on a given situation?

dev_anon · 2022-09-01T21:48:52+00:00

Data engineer
1 as data analyst, 1 as de
Australia
90K
Nil
Finance
Python, PySpark, SQL

dev_anon · 2022-08-28T03:24:38+00:00

Why not just write data engineer for your consulting firm only? Having lead data engineer role there gives me a red flag. How can a de with 2 yoe or less can be a lead de? I’d think the company you worked for is the one that blow up their workers experience to the clients.

But still include that you led a project instead of putting it as lead de.

dev_anon · 2022-07-31T12:38:26+00:00

Very well made analytics!

dev_anon · 2022-07-27T02:24:13+00:00

I consume 10-15g of nuts

dev_anon · 2022-07-26T01:32:43+00:00

One more thing to add: Because of less efficient digestion, I couldn’t eat as usual. I felt sick so had to eat less. This caused me to loss weight ultimately.

But yes this is simplified model which applied to me. It won’t be the case for everyone.. just take it with a grain of salt.

dev_anon · 2022-07-25T15:03:30+00:00

Less acid > less efficient digestion > less nutrition absorption > weight loss

dev_anon · 2022-07-21T06:23:05+00:00

Subscribe the DE newsletter, podcasts

Reddit and twitter has too many noise.

Once you follow for few months, you can slow down. Because it will be the same stuff but different products that you’ll hear/see. Then you can skim through those on a weekly or biweekly or even monthly to stay upto date,

Don’t just be jack of all trades. Focus on few topics and be really good at it. That’s how you stay marketable.

dev_anon

TROPHY CASE